调度(生产过程)
电
风力发电
电力转天然气
计算机科学
电力系统
数学优化
可靠性工程
工程类
运筹学
功率(物理)
运营管理
电气工程
化学
电解
物理化学
物理
电解质
量子力学
数学
电极
作者
Mingyang Zhang,Ming Zhou,Zhaoyuan Wu,Hongji Yang,Gengyin Li
出处
期刊:Energy
[Elsevier BV]
日期:2021-12-06
卷期号:241: 122813-122813
被引量:5
标识
DOI:10.1016/j.energy.2021.122813
摘要
The deepening of the electricity-gas coupling provides a new dimension of system operational flexibility, but it also exacerbates the deliverability and availability issues on flexible ramping capabilities if the two systems are not operated coordinately. This paper presents a novel scheduling strategy to properly allocate ramp capabilities in integrated electricity-gas systems (IEGS) to tackle the uncertainty and variability of wind power. First, a polygon-based approach is introduced to identify the most severe ramping events taking wind power temporal correlation into account. To reduce the conservativeness, an adjustable polygon-based approach is further proposed to formulate the adjustable ramp capabilities constraints, which are subsequently integrated into the scheduling model. Then, a robust ramp capability-aware day-ahead IEGS scheduling model that comprehensively considers the uncertainties of wind power and gas load to ensure adequate ramp capabilities is developed, by which preventive plans for wind farms that serve as operational guidelines are derived by a geometric method while scheduling conventional units. The numerical results demonstrate the merits of the proposed method for dealing with ramping events and lowering the total cost in an uncertain environment. Compared to current approaches, the proposed method can slash the number of ramp shortages by about 50%.
科研通智能强力驱动
Strongly Powered by AbleSci AI